Hospital-Based Medicine

Surveillance

Latest AI and machine learning research in surveillance for healthcare professionals.

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Development of a robust FT-IR typing system for , enhancing performance through hierarchical classification.

is a leading cause of foodborne illnesses globally, with significant mortality rates, especially am...

Methodological Challenges in Deep Learning-Based Detection of Intracranial Aneurysms: A Scoping Review.

Artificial intelligence (AI), particularly deep learning, has demonstrated high diagnostic performan...

Predictive modeling based on machine learning for mapping risk areas of human sporotrichosis in southeastern Brazil.

Sporotrichosis, a zoonotic mycosis with a growing public health impact, requires innovative methods ...

Are AI-based surveillance systems for healthcare-associated infections ready for clinical practice? A systematic review and meta-analysis.

Healthcare-associated infections (HAIs) are a global public health concern, imposing significant cli...

Probabilistic memory auto-encoding network for abnormal behavior detection in surveillance video.

Abnormal behavior detection in surveillance video, as one of the essential functions in the intellig...

Harnessing advances in mechanisms, detection, and strategies to combat antimicrobial resistance.

Antimicrobial resistance (AMR) is a growing global health crisis, threatening the effectiveness of a...

[Advances in the application of machine learning-related combined models in infectious disease prediction].

When the epidemiology of infectious diseases is more complex, it is often difficult for disease pred...

An epidemiological knowledge graph extracted from the World Health Organization's Disease Outbreak News.

The rapid evolution of artificial intelligence (AI), together with the increased availability of soc...

Revolutionizing breast cancer monitoring: emerging hematocrit-based metrics - a narrative review.

Breast cancer remains a leading global health concern, with significant strides made in early detect...

Liquid biopsies for early detection and monitoring of cancer: advances, challenges, and future directions.

OBJECTIVE: The article offers an extensive survey of the progressions, problems, and future trends o...

Comprehensive reporting guidelines and checklist for studies developing and utilizing artificial intelligence models.

BACKGROUND: The rapid advancement of artificial intelligence (AI) in healthcare necessitates compreh...

PRECISE framework: Enhanced radiology reporting with GPT for improved readability, reliability, and patient-centered care.

BACKGROUND: The PRECISE framework, defined as Patient-Focused Radiology Reports with Enhanced Clarit...

Revolutionizing stroke prediction: a systematic review of AI-powered wearable technologies for early detection of stroke.

Wearable technology, combined with artificial intelligence (AI) and machine learning (ML) algorithms...

Deep Learning-Assisted 3D Pressure Sensors for Control of Unmanned Aerial Vehicles.

Accurately and reliably detecting and recognizing human body movements in real time, relaying approp...

Multivariate forecasting of dengue infection in Bangladesh: evaluating the influence of data downscaling on machine learning predictive accuracy.

The increasing incidence of dengue virus (DENV) infections poses significant public health challenge...

Artificial intelligence and the impact of multiomics on the reporting of case reports.

The integration of artificial intelligence (AI) and multiomics has transformed clinical and life sci...

Machine learning in colorectal polyp surveillance: A paradigm shift in post-endoscopic mucosal resection follow-up.

Colorectal cancer remains a major health concern, with colorectal polyps as key precursors. Endoscop...

Artificial Intelligence and Novel Technologies for the Diagnosis of Upper Tract Urothelial Carcinoma.

: Upper tract urothelial carcinoma (UTUC) is one of the most underdiagnosed but, at the same time, o...

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